Blog

Utilizing SASE for Improved Cybersecurity in Enterprise Applications

What is SASE in Cybersecurity? Secure Access Service Edge (SASE) is the next step in cybersecurity. It is a rapidly emerging practice that seeks to unify disparate security practices into a cohesive cloud delivered model. What do we mean by that? Today, most enterprises have a variety of deployment models for their applications, data and […]

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Integrating Data for Your Customer Data Platform with Domo

In my last post I outlined a 5-layer conceptual architecture for your Customer Data Platform (CDP). I reiterated that a CDP program should be viewed as a way to achieve closed-loop analytics for your enterprise, not just a centralized data store. In this blog, I’ll outline the core foundation of all Customer Data Platforms – a

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MS Azure Purview Governance

Improving Data Governance with MS Purview to Deliver Better AI

Every large enterprise faces tremendous challenges with management of data, maintaining compliance, and identifying the sources of truth for better business performance. Often, it is not feasible to store and manage everything centrally as the application portfolio evolves constantly and business moves at different speeds across the enterprise. Entropy is real and a very good

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Building the Cognitive Enterprise with AI

Enterprise Cognitive Computing (ECC) is about using AI to enhance operations through better decision making and interaction. In fact, this is how the impact of AI is maximized by directly influencing operational efficiency and customer experience. Implementations of enterprise cognitive computing are a natural combination of digital, data, and enterprise integration.  That’s simply because the

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AWS Glue

Using AWS Glue to Accelerate Your AI & Analytics Initiatives

As AI and analytics becomes table stakes for businesses, there is a need to manage and utilize many different sources of data. These data sources can be of many different kinds – structured, semi-structured and unstructured. As I outlined in my blog earlier this year, one of the top challenges faced by data scientists is getting timely, high-quality

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The Biggest Data Engineering Challenges of 2022

The dynamic data engineering technology space of today is propelled ahead by the decisive shift from on-premise databases and BI tools to modern and advanced cloud-based data platforms built on lakehouse architecture. Today’s challenging data environment stipulates, reliance on multiple technologies to keep up with scale, speed and use cases. The cloud data technology market

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